What you'll work on

Design, build, and maintain scalable data pipelines that ingest, process, and store clinical data from multiple sources.
Develop and iterate on data models and schemas that support efficient querying and reporting.
Integrate data from various sources, including EHRs, lab systems, and other healthcare applications, ensuring data quality and consistency.
Migrate facilities off their incumbent EHR with mapping, reconciliation, and cutover tooling that operators can trust.

You might be a fit if

You have both built the data infrastructure as well as used it to analyze and interpret data.
Strong TypeScript, or Python and a willingness to work in TypeScript, plus SQL you are proud of.
You have shipped LLM- or ML-backed extraction and built systems to measure and improve its accuracy over time.
You treat a dropped or duplicated record as an incident, not a rounding error.

Backend

TypeScript, Node, NestJS

Data

PostgreSQL with row-level security, Prisma, pgvector

Frontend

React, Vite, Radix

Infra

AWS (ECS Fargate, RDS, SNS/SQS, Bedrock), Terraform

Quality

Jest, Vitest, Puppeteer acceptance specs, GitHub Actions merge queue

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